Research Publications for Albert C Bifet figuerol
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Petri, I., Chirila, I., Gomes, H., Bifet, A., & Rana, O. (2022). Resource-Aware Edge-Based Stream Analytics. IEEE Internet Computing. doi:10.1109/MIC.2022.3152478
Cerqueira, V., Gomes, H. M., Bifet, A., & Torgo, L. (2022). STUDD: a student–teacher method for unsupervised concept drift detection. Machine Learning. doi:10.1007/s10994-022-06188-7
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BIFET FIGUEROL, Albert CMordvanyuk, N., López, B., & Bifet, A. (2022). TA4L: Efficient temporal abstraction of multivariate time series. Knowledge-Based Systems, 244. doi:10.1016/j.knosys.2022.108554
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BIFET FIGUEROL, Albert CBifet, A., Ferreira, C., Gama, J., & Gomes, H. M. (2022). EDITORIAL MESSAGE Special Track on Data Streams. In Proceedings of the ACM Symposium on Applied Computing (pp. 449). doi:10.1145/3535426
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BIFET FIGUEROL, Albert CManapragada, C., Gomes, H. M., Salehi, M., Bifet, A., & Webb, G. I. (2022). An eager splitting strategy for online decision trees in ensembles. Data Mining and Knowledge Discovery. doi:10.1007/s10618-021-00816-x
Guyet, T., Zhang, W., & Bifet, A. (2022). Incremental mining of frequent serial episodes considering multiple occurrences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 13350 LNCS (pp. 460-472). doi:10.1007/978-3-031-08751-6_33
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BIFET FIGUEROL, Albert CMordvanyuk, N., Bifet, A., & López, B. (2022). VEPRECO: Vertical databases with pre-pruning strategies and common candidate selection policies to fasten sequential pattern mining. Expert Systems with Applications, 204. doi:10.1016/j.eswa.2022.117517
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BIFET FIGUEROL, Albert CBarracchia, E. P., Pio, G., Bifet, A., Gomes, H. M., Pfahringer, B., & Ceci, M. (2022). LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Information Sciences, 606, 702-721. doi:10.1016/j.ins.2022.05.079
Cassales, G., Gomes, H., Bifet, A., Pfahringer, B., & Senger, H. (2021). Improving the performance of bagging ensembles for data streams through mini-batching. Information Sciences, 580, 260-282. doi:10.1016/j.ins.2021.08.085
Montiel, J., Halford, M., Mastelini, S. M., Bolmier, G., Sourty, R., Vaysse, R., . . . Bifet, A. (2021). River: Machine learning for streaming data in Python. Journal of Machine Learning Research, 22(10), 1-8. Retrieved from http://jmlr.org/papers/v22/20-1380.html
Open Access version at:
https://hdl.handle.net/10289/14402
Other publications by:
BIFET FIGUEROL, Albert C :: MONTIEL LOPEZ, Jacob :: GOMES, Heitor M
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